Hi, I am Karamveer
A novice Powerlifter who loves to Code Fullstack.

A voice controlled App that fetches News for you. The user can ask for the latest news, news by category, news by term, news by source. The app fetches and displays the news from the News API. The user can ask the app to read the headlines and open any article to read and go back. The app automatically scrolls down the page while reading the headlines. Used React and Material UI to build the UI. Alan AI and Alan Studio are used to add voice capabilities to the app. Other libraries used: words-to-numbers and classnames. Deployed using Netlify and Github.

A face detection app built using HTML, CSS, Javascript and React on the frontend, using Node and Express on the backend and PostgreSQL as the Database. The user can register and sign in. After signing in, copy the url of your image in the box and click detect to detect a face in your image. I am currently expanding it to add more features.

An online e-learning platform where students can enroll in courses and start learning for free. A user can search for courses, enroll in a course and access the course from his dashboard. The student can also unenroll from the course. Used HTML, CSS and PHP to build the application. MySQL database is used to store user information. Deployed using Amazon EC2 of AWS using LAMP Server on Ubuntu Linux and reduced costs by 72%. The code is updated by making a pull request from Github.

A simple app built with ReactJs that allows you to search for your faviourite robot from out of a list of robots with images fetched from an external api.

A Face Recognition App written in Python using Jupyter Notebook based on face_recognition library in Python. There are two parts FR Part1 & FR Part2: In FR Part 1 we create two face encodings reg_face_encodings and str_face_encoding from the available images and save them in .dat files. FR Part 1 needs to be run only once. FR Part 2 is the execution file.When FR Part 2 is executed, the camera live feed window appears. 'r' is pressed on keyboard to start recognition and then the result is displayed. If, the user is a registered user it will recognise him and take action further.

A sample website layout built using HTML, CSS, Bootstrap and a very little Javascript that is suitable for any type of website and can be easily customised for personal needs.

A Startup Landing page built with HTML and CSS using Mailchimp as the mailing service.

An app to generate a gradient color for using as a background of your website or other needs. It's built with HTML and CSS the DOM is manipulated with Javascript.

A very simple yet fully responsive image gallery built with flexbox using HTML and CSS.

A web app to make a shopping list and modify it accordingly. A person can delete the item if he doesn't want it or scracth it if he bought it already.